{"title":"矢量法自动解译法国地籍图","authors":"Jean-Marc Viglino, M. Pierrot-Deseilligny","doi":"10.1109/ICDAR.2003.1227678","DOIUrl":null,"url":null,"abstract":"This paper deals with cadastral maps interpretation device. The challenge is to propose a complete reconstruction of the parcel's areas and buildings to use with geographic information systems. It is based on a low level primitives extraction and classification. As this low level may be quite noisy, an interpretation process classifies medium level objects and manages convenient processes to the particular extracted shape. Then, a reconstruction step is used to label the parcels areas and determine the final land partition. We present at first the vectorization strategy in our particular context then we will discuss the different tools used to reach the higher level.","PeriodicalId":249193,"journal":{"name":"Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"A vector approach for automatic interpretation of the French cadastral map\",\"authors\":\"Jean-Marc Viglino, M. Pierrot-Deseilligny\",\"doi\":\"10.1109/ICDAR.2003.1227678\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper deals with cadastral maps interpretation device. The challenge is to propose a complete reconstruction of the parcel's areas and buildings to use with geographic information systems. It is based on a low level primitives extraction and classification. As this low level may be quite noisy, an interpretation process classifies medium level objects and manages convenient processes to the particular extracted shape. Then, a reconstruction step is used to label the parcels areas and determine the final land partition. We present at first the vectorization strategy in our particular context then we will discuss the different tools used to reach the higher level.\",\"PeriodicalId\":249193,\"journal\":{\"name\":\"Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.\",\"volume\":\"24 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-08-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDAR.2003.1227678\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDAR.2003.1227678","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A vector approach for automatic interpretation of the French cadastral map
This paper deals with cadastral maps interpretation device. The challenge is to propose a complete reconstruction of the parcel's areas and buildings to use with geographic information systems. It is based on a low level primitives extraction and classification. As this low level may be quite noisy, an interpretation process classifies medium level objects and manages convenient processes to the particular extracted shape. Then, a reconstruction step is used to label the parcels areas and determine the final land partition. We present at first the vectorization strategy in our particular context then we will discuss the different tools used to reach the higher level.